Eye gaze detection controlled indicia scanning system and method

ABSTRACT

By tracking a user&#39;s eyes, an indicia scanning system can make educated guesses as to what the user is interested in. This insight could be useful in dynamically configuring a camera system, configuring an indicia decoding process or even as a method to select data that the user is interested in.

FIELD OF THE INVENTION

The present invention relates to an indicia scanning system with eye gaze detection.

BACKGROUND

Mobile computer devices such as smartphones have become an increasingly popular way to scan indicia because of their highly functional camera technology as well as their ubiquity. Generally speaking, the greatest challenge when scanning a barcode with a smartphone is first getting the barcode in focus. Presently, most smartphones utilize an autofocus routine that attempts to get an image into focus. This procedure is quite time consuming. Also, autofocus routines are often hampered in their efforts by excessive motion and poor lighting conditions. This often leads to a significant time delay when scanning a barcode and accounts for the vast majority of the overall scan time.

Therefore, a need exists for a system for reading code symbols that is capable of generating faster readings of indicia by tracking a user's eyes to make educated guesses as to what the user is interested in.

SUMMARY

Accordingly, in one aspect, the present invention embraces a portable computer for reading indicia comprising: a processor coupled to a first imaging system for capturing an image within the first system's field of view and showing the image on visual display and a second imaging system for detecting a gaze of a user; the processor configured to: determine a gaze coordinate location that the user is viewing on the visual display having the image; and use the gaze coordinate location to start decoding a region of interest within the image.

In another aspect, the present invention embraces a method comprising: a method for reading indicia comprising: display an image of at least one indicia on a visual display of a portable computer; determine a gaze coordinate location that the user is viewing on the visual display having the image; and use the gaze coordinate location to start decoding a region of interest within the image.

The foregoing illustrative summary, as well as other exemplary objectives and/or advantages of the invention, and the manner in which the same are accomplished, are further explained within the following detailed description and its accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A is a schematic representation of a portable computer 100 (such as a smartphone device, tablet, scanner, or the like) having eye gaze detection controlled indicia scanning ability.

FIG. 1B is a schematic block diagram of the exemplary portable computer 100.

FIG. 2 shows a real-time camera preview on a visual display 105 of a plurality of indicia (e.g., barcodes) 202, 204, and 206 imaged by rear facing camera system 116.

FIG. 3 illustrates a flowchart of the eye gaze detection controlled scanning method disclosed herein.

DETAILED DESCRIPTION

The present invention embraces system and method for an indicia (or code symbol) scanning portable computer for tracking a user's eyes as they view a visual display so that educated guesses may be made as to what the user is interested in. This insight could be useful in dynamically configuring a camera system, configuring an indicia decoding process or even as a method to select data that the user is interested in.

FIG. 1A is a schematic representation of a portable computer 100 such as a smart phone device, tablet, scanner, or the like and FIG. 1B is a block diagram of the exemplary portable computer 100 having a visual display 105. Visual display 105 shows an indicia (e.g., code symbol or bar code) 107 captured by the rear facing camera system 116 of portable computer 100. The portable computer 100 typically includes a processor 110 which is communicatively coupled with a user interface system 102 having touch screen/visual liquid crystal display 105, a memory 112 having a database 114, a wireless communication system 118 and an input/output (I/O) module 120. The portable computer 100 further includes a front user facing camera system 101 (or first camera system) able to track the eye gaze movements of the user and rear (or outward) facing camera system 116 (or second camera system) for capturing images such as indicia within the camera system's field of view. Each of the camera systems (101 and 116) will include a lens and a driver and be connected to processor 110 for processing the images captured by the camera systems. The portable computer 100 may include a system bus 122 and/or one or more interface circuits (not shown) for coupling the processor 110 and other components (e.g., user interface system 102, memory 112, front user facing camera system 101, rear facing camera system 116, wireless communication system 118 and I/O module 120) to the system bus 122 and to each other. Typically, the processor 110 is configured to execute instructions and to carry out operations associated with the portable computer 100. For example, using instructions retrieved from the memory 112 (e.g., a memory block), the processor 110 may control the reception and manipulation of input and output data between components of the portable computer 100. The processor 110 is configured to capture from the front facing camera system 101 the eye movements of the user. The processor 110 is also configured to retrieve from the rear facing camera system 116 an image depicting an indicia such as a code symbol; display the image on the visual display 105 (such as bar code 107 shown in FIG. 1A); and determine the eye gaze of a user through the front facing camera system 101 while the user views the visual display 105. The processor 110 typically operates with an operating system to execute computer code and produce and use data. The operating system, other computer code, and data may reside within the memory 112 that is operatively coupled to the processor 110. The memory 112 generally provides a place to store computer code and data that are used by the portable computer 100. The memory 112 may include Read-Only Memory (ROM), Random-Access Memory (RAM), a hard disk drive, and/or other non-transitory storage media. The operating system, other computer code, and data may also reside on a removable non-transitory storage medium that is loaded or installed onto the portable computer 100 when needed. The wireless communication system 118 enables the portable computer 100 to communicate with a wireless network, such as a cellular network (e.g., a GSM network, a CDMA network, or an LTE network), a local area network (LAN), and/or an ad hoc network. The I/O module 120 may be a hardwired connector which allows the portable computer 100 to receive power and/or data when plugged in.

This disclosure covers several types of eye-gaze tracking system and method functions within the context of an indicia scanning portable computer 100. By tracking the user's eyes using front facing camera system 101, an indicia scanning portable computer 100 can make calculated guesses as to what the user is interested in. These calculated guesses are used to dynamically configure the rear facing camera system 116 and the indicia decoding process in the processor 110 to select data on the visual display 105 that the user is interested in.

Front facing camera system 101 is configured to search for a face of the user operating the portable computer 100, find the user's eyes, and then find their pupils. The pupils are tracked and used to calculate which coordinate(s) on the visual display 105 as shown in FIG. 2 the user is looking at. Eye gaze cursor graphic or “gaze zone coordinate” 208 is a configurable representation on the visual display 105 of where the user is gazing (e.g., a dot). As the user's pupils move to gaze around the visual display 105, the gaze zone coordinate 208 moves as well. FIG. 2 further shows a real-time camera preview on visual display 105 of a plurality of indicia (e.g., barcodes) 202, 204, and 206 captured by rear facing camera system 116. An indicia decoding process takes place in processor 110. A mapping of a visual display 105 coordinate system to the rear facing camera 116 image coordinate system is created so the decoding process may be seeded (or configured) with locations within the image on the visual display 105 that are correlated with the gaze location on the visual display 105. By seeding, the gaze zone coordinate 208 is used as an input to the decoding subsystems of processor 110 to signal that the user is interested in this area and provide an optimal configuration to start the decoding. Once the gaze of the user is determined and is mapped to a coordinate location on the visual display 105, several interesting things will happen with regard to the seeding the area of interest, the autofocus and autoexposure. The processor 110 will detect the gaze zone coordinate 208 as a region of interest to start (or seed) a decoding of the indicia (or multiple indicia) and other camera processes (e.g., autofocus, autoexposure). In the exemplary embodiment of FIG. 2, multiple barcodes 202, 204, and 206 are shown on visual display 105 which were captured by rear facing camera 116 and which are decoded.

If multiple barcodes were found within the field of view, there may be rendered graphics on the screen that make it easier for the user to select the barcode of interest with the least error possible as shown in FIG. 2. Because the eye gaze resolution may not be very high, it may be difficult to use the operator's eye gaze to select a barcode directly. For each decoded barcode 202, 204 and 206 there is rendered an associated “gaze selection zone” (210 a, 212 a, and 214 a) having a gaze zone color graphic located in each corner of the field of view on the visual display 105. The user's gaze is monitored to see if it stays within a gaze selection zone 210 a, 212 a, and 214 a or the barcode bounds of barcodes 202, 204, or 206 for greater than a predetermined “n” milliseconds. If so, that barcode is selected and returned to the processor 110. Unselected gaze zone coordinates and associated barcodes could be color coded. For example, a first color could be used when not selected but when the user gazes into one of the gaze zones for the designated period of time, the color would change to a second color (e.g., green). Referring to FIG. 2, after decoding of the barcodes (202, 204, and 206) the gaze zone coordinate 208 location is visibly shown on visual display 105 by a dot with gaze cursor graphic surrounding gaze selection zone 210 a having turned to the second color (e.g., green). Also, a corresponding viewfinder box 210 b may be a graphic (e.g., made up of a boundary such as line or a dotted line) surrounding the closest bar code 202. Gaze selection zones 212 a and 214 a and corresponding viewfinder boxes 212 b and 214 b may represent where the gaze zone coordinate 208 location is not currently focused. The actual selection of the particular decoded barcode (202, 204, or 206) could occur after a predetermined amount of time that the user continues to stare in the gaze zone coordinate or when the user blinks at the gaze zone coordinate. For example, this predetermined amount of time could be in the range of approximately 500 to 2000 milliseconds. In an alternative embodiment, the front facing camera system 101 could receive a first predetermined blink pattern from the user to select one of a plurality of bar codes. In another alternative embodiment, the front facing camera system 101 could receive a second predetermined blink pattern such as three blinks in a row to terminate the scanning of the pupils. The gaze zone cursor graphics 212 a, 214 a could begin to blink as they are about to be selected and even speed up in blinking as the time gets closer to selection with the movement of the user's pupils. The user could always have the option of selecting the barcode they were interested in with their finger or via voice as well. In addition, the rear facing camera system 116 can seed its auto-focus process to use the gaze zone coordinate 208 as the area in the field of view of camera system 116 to focus on. As the gaze zone coordinate 208 location changes, the automatic focus (i.e., autofocus) area is updated in processor 110 with that which has the highest priority. This will help the scanning system find a barcode quicker. In addition to auto-focus, the gaze zone coordinate 208 can be used to seed the camera's auto-exposure process to ensure there is good contrast in the area of interest.

An exemplary implementation of the eye-gaze tracking method and system disclosed herein may be made in a Honeywell SwiftDecoder™ mobile barcode scanning application program interface (API) for a smart device (e.g., smartphone, tablet, etc.). The API provides a plugin architecture where users can create their own scanning plugins that allow them to control the look and function of a scanning operation. This plug-in would have the ability to access the camera feeds from both the rear camera 116 and front facing camera 101 simultaneously. This barcode scanning API would allow a user to see a real-time preview of what the rear facing camera system 116 is seeing and would have the ability to render graphics over this real-time preview to provide an augmented reality experience.

FIG. 3 is a flowchart 300 demonstrating the eye gaze controlled indicia scanning process. In step 302, a user points, for example, a smart device (e.g., a smartphone) at an indicia (or a plurality of indicia) such as a barcode(s). In step 304, images from the front facing camera system 101 are processed to locate the user's eye pupils. In step 306, a point (or gaze zone coordinate) 208 on the smartphone screen 105 is calculated corresponding to where the user is looking. In step 308, indicia images (202, 204, and 206) captured from the rear facing camera system 116 are processed. In step 310, the screen gaze coordinates are transformed into the coordinate system of the rear facing camera system 116 image. In step 312, the gaze zone coordinate 208 is used to seed or start the region of interest decoding, auto-focus, and auto exposure processes within the camera driver and barcode decoder processor (or logic) 110. In step 314, the rear facing camera indicia image is decoded. In step 316, a decision is made whether a barcode (or barcodes) are found and decoded. If no, the process reverts to step 304 to re-analyze the user's pupils. If yes, the process advances to step 318 to determine if more than one barcode is decoded. If no, in step 319 the barcode data is returned to processor 110. If yes, in step 320, for each barcode found, a border is drawn around the barcode and a gaze selection zone (210 a, 212 a, and 214 a) is created on the smartphone display 105. In step 322, the user's gaze is monitored by front facing camera system 101 looking to see if the gaze stays within any gaze selection zone for a predetermined “n” seconds to make a selection. In step 324, if a gaze zone selection does not occur, then the process returns to step 322. If a gaze selection zone does occur, the process goes to step 319.

To supplement the present disclosure, this application incorporates entirely by reference the following commonly assigned patents, patent application publications, and patent applications:

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In the specification and/or figures, typical embodiments of the invention have been disclosed. The present invention is not limited to such exemplary embodiments. The use of the term “and/or” includes any and all combinations of one or more of the associated listed items. The figures are schematic representations and so are not necessarily drawn to scale. Unless otherwise noted, specific terms have been used in a generic and descriptive sense and not for purposes of limitation.

Devices that are described as in “communication” with each other or “coupled” to each other need not be in continuous communication with each other or in direct physical contact, unless expressly specified otherwise. On the contrary, such devices need only transmit to each other as necessary or desirable, and may actually refrain from exchanging data most of the time. For example, a machine in communication with or coupled with another machine via the Internet may not transmit data to the other machine for long period of time (e.g. weeks at a time). In addition, devices that are in communication with or coupled with each other may communicate directly or indirectly through one or more intermediaries.

Although process (or method) steps may be described or claimed in a particular sequential order, such processes may be configured to work in different orders. In other words, any sequence or order of steps that may be explicitly described or claimed does not necessarily indicate a requirement that the steps be performed in that order unless specifically indicated. Further, some steps may be performed simultaneously despite being described or implied as occurring non-simultaneously (e.g., because one step is described after the other step) unless specifically indicated. Where a process is described in an embodiment the process may operate without any user intervention. 

1. A portable computer for reading indicia comprising: a processor coupled to: a first imaging system for capturing an image within the field of view of the first imaging system, and showing the image on visual display; and a second imaging system for detecting a gaze of a user; the processor configured to: determine a gaze coordinate location that the user is viewing on the visual display having the image; and use the gaze coordinate location to start decoding a region of interest within the image; wherein the processor is further configured to monitor a gaze zone coordinate to determine whether the user's gaze is stationary on a point on the visual display for a predetermined time period n, and to re-calculate the gaze zone coordinate if at least one indicia is not found while decoding the region of interest.
 2. The portable computer of claim 1, wherein the processor is further configured to use the gaze coordinate to start an auto-focus process on the region of interest.
 3. The portable computer of claim 1, wherein the processor is further configured to use the gaze coordinate to start an auto exposure process on the region of interest.
 4. The portable computer of claim 1, wherein the processor is further configured to decode at least one indicia located in the image.
 5. The portable computer of claim 1, wherein the processor is further configured to decode a plurality of indicia located in the image.
 6. The portable computer of claim 5, wherein the processor is further configured to: display a viewfinder box around each of the plurality of indicia; and create a plurality of gaze selection zones respectively associated each of the indicia.
 7. (canceled)
 8. The portable computer of claim 1, wherein n is in the range of 500 to 2000 milliseconds.
 9. The portable computer of claim 1, wherein the processor is further configured to flash a boundary around the viewfinder box after a predetermined period in which the gaze zone coordinate is stationary.
 10. (canceled)
 11. A method for reading indicia comprising: displaying an image of at least one indicia captured by a first imaging system on a visual display of a portable computer; determining a gaze coordinate location that the user is viewing on the visual display having the image from a second imaging system; and using the gaze coordinate location to start decoding a region of interest within the image; monitoring a gaze zone coordinate to determine whether the user's gaze is stationary on a point on the visual display for a predetermined time period n; and re-calculating the gaze zone coordinate if at least one indicia is not found while decoding the region of interest.
 12. The method of 11, further comprising using the gaze coordinate to start an auto-focus process on the region of interest.
 13. The method of claim 11, further comprising using the gaze coordinate to start an auto exposure process on the region of interest.
 14. The method of claim 11, further comprising decoding at least one indicia located in the image.
 15. The method of claim 11, further comprising decoding a plurality of indicia located in the image.
 16. The method of claim 15, further comprising: displaying a viewfinder box around each of the plurality of indicia; and creating a plurality of gaze selection zones respectively associated each of the indicia.
 17. (canceled)
 18. The method of claim 11, wherein n is in the range of 500 to 2000 milliseconds.
 19. (canceled)
 20. The method of claim 11, further comprising: capturing through the second imaging system a predetermined blink pattern from the user; and using the predetermined blink pattern to select one of the plurality of indicia.
 21. The method of claim 11, further comprising: capturing through the second imaging system a predetermined blink pattern from the user; and using the predetermined blink pattern to terminate the scanning of the user by the second imaging system. 